The graph represents a network of 1,967 Twitter users whose tweets in the requested range contained "Preeclampsia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 October 2020 at 21:58 UTC.
The requested start date was Tuesday, 20 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 42-minute period from Tuesday, 06 October 2020 at 00:53 UTC to Monday, 19 October 2020 at 23:35 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 1967
Unique Edges : 1462
Edges With Duplicates : 2123
Total Edges : 3585
Number of Edge Types : 5
Replies to : 302
Mentions : 683
Retweet : 914
MentionsInRetweet : 1294
Tweet : 392
Self-Loops : 398
Reciprocated Vertex Pair Ratio : 0.0507639231148349
Reciprocated Edge Ratio : 0.0966228893058161
Connected Components : 460
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 572
Maximum Edges in a Connected Component : 1644
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 5.487778
Graph Density : 0.000551314388322892
Modularity : 0.58125
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 1,967 Twitter users whose tweets in the requested range contained "Preeclampsia", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 20 October 2020 at 21:58 UTC.
The requested start date was Tuesday, 20 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 22-hour, 42-minute period from Tuesday, 06 October 2020 at 00:53 UTC to Monday, 19 October 2020 at 23:35 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : Preeclampsia
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[209] blood,pressure [207] particularly,against [207] against,airborne [207] airborne,rna [207] rna,viruses [207] viruses,bc [207] bc,reliance [207] reliance,endosomal [207] endosomal,acidification [207] acidification,flu Top Word Pairs in Tweet in G1:
[207] particularly,against [207] against,airborne [207] airborne,rna [207] rna,viruses [207] viruses,bc [207] bc,reliance [207] reliance,endosomal [207] endosomal,acidification [207] acidification,flu [207] flu,helps Top Word Pairs in Tweet in G2:
[35] blood,pressure [34] ø,ù [29] ù,ø [26] high,blood [26] ø,ø [18] mothers,preeclampsia [17] risk,high [17] children,born [15] vitamin,womb [15] womb,minimize Top Word Pairs in Tweet in G3:
[71] blood,pressure [32] awareness,week [26] women's,blood [26] pressure,awareness [24] national,women's [22] high,blood [17] week,shouting [17] shouting,message [17] message,woman [17] woman,needs Top Word Pairs in Tweet in G4:
[17] fantastic,pilot [17] pilot,rct [17] rct,showing [17] showing,cv [17] cv,benefits [17] benefits,postpartum [17] postpartum,enalapril [17] enalapril,preterm [17] preterm,preeclampsia [17] preeclampsia,reduced Top Word Pairs in Tweet in G5:
[20] vitamin,levels [19] research,johnshopkinssph [19] johnshopkinssph,suggests [19] suggests,high [19] high,vitamin [19] levels,birth [19] birth,achieved [19] achieved,dietary [18] johnshopkins,research [11] increasing,evidence Top Word Pairs in Tweet in G6:
[35] really,need [35] need,parents [35] parents,whose [35] whose,babies [35] babies,died [35] died,#preeclampsia [35] #preeclampsia,fill [35] fill,survey [35] survey,experiences [35] experiences,help Top Word Pairs in Tweet in G7:
[16] need,more [13] #preeclampsia,biomarkers [13] biomarkers,different [13] different,gestational [13] gestational,ages [13] ages,professor [13] professor,kypros [13] kypros,nicolaides [13] nicolaides,#isuog2020 [12] linayoussef17,#preeclampsia Top Word Pairs in Tweet in G8:
[35] midwincharles,occamsrazor45 [35] occamsrazor45,thought [35] thought,consulting [35] consulting,dr [35] dr,survive [35] survive,3rd [35] 3rd,blood [35] blood,pressure [35] pressure,rose [34] grania64156311,midwincharles Top Word Pairs in Tweet in G9:
[35] early,#periods [35] #periods,#pcos [35] #pcos,#gestationaldiabetes [35] #gestationaldiabetes,#preeclampsia [35] #preeclampsia,risk [35] risk,factors [35] factors,linked [35] linked,#heartdisease [35] #heartdisease,fine [35] fine,work Top Word Pairs in Tweet in G10:
[21] contraceptives,abortion [21] abortion,gay [21] gay,anything [20] barrett,gets [19] anything,healthcare [18] gets,contraceptives [18] healthcare,trumps [18] ectopic,pregnancies [17] trumps,dumping [17] dumping,help Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: